With the development of assistive technology, eye typing has become an alternative form of text entry for physically challenged people with severe motor disabilities. However, additional eye-tracking devices need to be used to track eye movements which is inconvenient in some cases. In this paper, we propose an appearance-based method to estimate the person’s gaze point using a webcam, and also investigate some practical issues of the method. The experimental results demonstrate the feasibility of eye typing using the proposed method.
CITATION STYLE
Liu, Y., Lee, B. S., Sluzek, A., Rajan, D., & McKeown, M. (2016). Feasibility analysis of eye typing with a standard webcam. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 9914 LNCS, pp. 254–268). Springer Verlag. https://doi.org/10.1007/978-3-319-48881-3_18
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